Gen AI Engineer | (7+ Years Experience)|Hybrid working |Pune,India

Job Summary:

Generative & Agentic AI Developer with 7+ years of IT experience,

Job Type: Hybrid, Full-Time

Primary Work Location: Pune

In this Role, Your Responsibilities Will Be:

• Design, fine-tune, and deploy advanced GenAI models (LLMs, Diffusion, GANs, VAEs, Transformers, GNNs) for multimodal, NLP, and autonomous agentic applications.
• Engineer end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot, MCP.
• Integrate vector DBs (PostreSQL, Pinecone, Weaviate, Chroma, FAISS, Redis) and graph DBs (Neo4j, Postgres/pgvector) for semantic retrieval and contextual reasoning.
• Optimize foundation models (GPT-4, LLaMA, Mistral, Falcon) via prompt engineering, RLHF, LoRA, quantization, and hyperparameter tuning.
• Build scalable AI solutions using Azure AI/ML (preferred) with containerized deployments (Docker, Kubernetes).
• Apply MLOps best practices: CI/CD, model versioning, drift detection, observability, and lifecycle management with MLflow, Kubeflow, Airflow, and monitoring tools.
• Develop secure AI pipelines and APIs with Python, FastAPI/Flask, RBAC, OAuth2, JWT, and encryption standards.
• Conduct model optimization:

  prompt engineering

  , hyperparameter tuning, cross-validation, and performance monitoring.
• Use tools like

  Azure Machine Learning

  , OpenAI API, HuggingFace, or custom PyTorch/TensorFlow-based models.
• Implement AI safety, bias mitigation, interpretability (SHAP, LIME, and compliance guardrails (GDPR, HIPAA, ISO).
• Collaborate with cross-functional teams to deliver enterprise-grade copilots, assistants, and reusable AI components.
• Document AI design, model workflows, and deployment pipelines for audit readiness and knowledge sharing.
• Build scalable AI applications using MLOps, CICD,

  containerization (Docker, Kubernetes)

  and deploy on

  Azure AI Infrastructure

  (preferred) or AWS if needed.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

  over 7+ years.

• Proven experience as a

  Gen AI Developer

  or in a similar role and

  proficiency in Python

• Strong Experience with Agentic Solution Development, RAG, Deep Learning, Prompt Engineering, Natural Language Processing (NLP), computer vision, optimization while maintaining performance techniques.

• Strong understanding and practical knowledge of

  LLMs, embeddings, RAG

  , and

  Vector Search

  .
• Proficient in

  prompt engineering

  and conversational AI solution design.
• Experience with

  AI on Azure (must)

  , including Azure OpenAI, Azure ML, and related services.

• Deep hands-on experience in Python

  , CUDA, SQL, proficient with

  TensorFlow, PyTorch, Keras

  .
• Familiarity with

  security, bias mitigation

  , and

  responsible AI frameworks

  .
• Experience with

  MLOps practices

  and tools for deploying, tracking, and updating models.
• Knowledge of ML algorithms (e.g., CNNs, RNNs, SVMs, Random Forests, k-NN, Naïve Bayes).
• Excellent problem-solving, communication, and team collaboration skills.

Preferred Qualifications:

• Certifications in AI/ML from Microsoft, AWS or Coursera/edX.
• Exposure to enterprise use cases in industries such as manufacturing, finance and other.
• Experience with

  AutoML, LLMOps,

  and performance benchmarking tools.
• Understanding of semantic search, knowledge graphs, and contextual recommendation engines.
• Hands on

  MLOps

  experience, with an appreciation of the end-to-end

  CI/CD process

• Certified in Azure AI Fundamentals (AI-900), Azure AI Engineer Associate (AI-102), Azure Developer Associate,

• Experience with big data technologies